D. Verellen et al., ONLINE PORTAL IMAGING - IMAGE QUALITY DEFINING PARAMETERS FOR PELVIC FIELDS - A CLINICAL-EVALUATION, International journal of radiation oncology, biology, physics, 27(4), 1993, pp. 945-952
Citations number
22
Categorie Soggetti
Oncology,"Radiology,Nuclear Medicine & Medical Imaging
Purpose: A test of several image enhancement techniques, performed on
on-line portal images in real clinical circumstances, is presented. In
addition a score system enabling us to evaluate image quality on pelv
ic fields is proposed and validated. Methods and Materials: Localizati
on images (n = 546) generated by an on-line portal imaging system duri
ng the treatment of 13 patients on pelvic fields were obtained by deli
vering a radiation dose of 6-8 cGy by an 18 MV photon beam, and record
ed with a silicon intensified target video camera with adjustable gain
, kV- and black level. Set-up errors were corrected before continuing
irradiation. A scoring system based on the number of visible bone-soft
tissue edges and transformed to a scale 0 to 5 was developed to judge
image quality. A validation of this classification of images was perf
ormed with the use of transsectional bone-densities (bone-density rad
iological path length) specified at the score defining landmarks. A hi
gh pass filter was used on all images, additional online open field su
btraction was performed on 242 fields. Off-line study was performed in
which a panel consisting of two groups (one composed of three radiati
on oncologists, the other of three radiotherapy technologists), scored
470 pelvic fields without further enhancement, and the same images wi
th Contrast Limited Adaptive Histogram Equalization (CLAHE) (Pizer et
al.). Two different clipping levels (3.0 and 5.0) were studied. Result
s: Gender and transsectional bone-densities were the most defining pat
ient-related factors influencing image quality. Camera settings, gantr
y angle, and image post-processing were important non-patient-related
factors. All investigators judged CLAHE to ameliorate low contrast ima
ges and to deteriorate good quality images (p < 0.001).